POMA AI
Turn unstructured documents into AI-searchable context for agents and copilots
Visit poma-ai.com ↗What is POMA AI?
POMA AI provides context engineering infrastructure for AI applications. Its core offering, Grill, is a managed Retrieval Augmented Generation (RAG) pipeline that handles document ingestion, chunking, embedding, and retrieval end-to-end. PrimeCut, POMA's proprietary chunking technology, uses structure-aware processing to achieve 100% recall while using only 23% of the tokens compared to standard chunking methods.
The platform integrates with Claude, ChatGPT, and other AI systems via MCP, SDK, or REST API. Users can ingest files through console, URL, API, or CLI, then query them immediately without managing separate vector databases or embedding models. The maker indicates the project was built with Claude Code.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered POMA AI automatically. Evidence: GitHub poma-ai/megavibe; repo has CLAUDE.md. View source.
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